Lesson 1 · Open
Optimization fundamentals
Decisions, objectives and constraints describe different parts of a problem.
Quantum Modeler · Learn
Quantum Modeler
Turn a small optimization problem into binary decisions, inspect the encoding, and distinguish sampled evidence from exact reference answers.
Understand → Visualize → Experiment → Apply. Explore validated examples locally, then explicitly open a tool to work on your own problem. Inspection never executes a model.
Lesson 2 · Open
Read a QUBO
Understand a binary quadratic expression without losing its offset or counting interactions twice.
Lesson 3 · Open
From binary variables to Ising spins
The same objective can be expressed with binary variables or spin values.
Lesson 4 · Open
Choose a supported problem family
Match the question to the implemented objective and constraints.
Lesson 5 · Open
Constraints and feasibility
A low energy or a frequent sample does not by itself establish a valid domain solution.
Lesson 6 · Open
Interpret results and resource projections
Keep samples, exact references and larger-target estimates separate.